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To review the evidence supporting the validity of billing, procedural, or diagnosis code, or pharmacy claim-based algorithms used to identify patients with rheumatoid arthritis (RA) in administrative and claim databases.We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to RA and reference lists of included studies were searched. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria and extracted the data. Data collected included participant and algorithm characteristics.Nine studies reported validation of computer algorithms based on International Classification of Diseases (ICD) codes with or without free-text, medication use, laboratory data and the need for a diagnosis by a rheumatologist. These studies yielded positive predictive values (PPV) ranging from 34 to 97

作者:Cecilia P, Chung;Patricia, Rohan;Shanthi, Krishnaswami;Melissa L, McPheeters

来源:Vaccine 2013 年 31 Suppl 10卷

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作者:
Cecilia P, Chung;Patricia, Rohan;Shanthi, Krishnaswami;Melissa L, McPheeters
来源:
Vaccine 2013 年 31 Suppl 10卷
标签:
A ACR AMI ANA Administrative database Algorithm American College of Rheumatology CD CI CPT Crohn's disease DB DMARD DMBA Deseret Mutual Benefits Administration EDC EMR GHS Geisinger health system HCPCS HZ Health Care Financing Administration Common Procedure Coding System IBD ICD ICD-9 International Classification of Diseases JRA KPNC Kaiser Permanente Northern California MEDECHO MTX Maintenance et Exploitation des Donnees pour l’Etude de la Clientele Hospitaliere NDC NJ NMSC NPV NSAID National Drug Code New Jersey OSHPD Office of Statewide Health Planning and Development PA PACE PPV Pennsylvania Pennsylvania Assistance Contract for the Elderly Positive predictive value PsA RA RAMQ RF ROC RX Regie de l’assurance maladie du Quebec Rheumatoid arthritis SLE THR VA VAMC VISN Validation Veterans Affairs Medical Center Veterans Affairs/Administration Veterans Integrated Services Network acute myocardial infarction algorithm anti-CCP anti-TNF anti-cyclic citrullinated peptide anti-tumor necrosis factor antinuclear antibody confidence interval current procedural terminology database disease-modifying antirheumatic drug electronic medical records estimated date of conception herpes zoster inflammatory bowel disease juvenile-onset rheumatoid arthritis methotrexate negative predictive value non-melanoma skin cancer non-steroidal anti-inflammatory drug positive predictive value prescription psoriatic arthritis receiver operating characteristic (curve area) rheumatoid arthritis rheumatoid factor systemic lupus erythematosus total hip replacement
To review the evidence supporting the validity of billing, procedural, or diagnosis code, or pharmacy claim-based algorithms used to identify patients with rheumatoid arthritis (RA) in administrative and claim databases.We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to RA and reference lists of included studies were searched. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria and extracted the data. Data collected included participant and algorithm characteristics.Nine studies reported validation of computer algorithms based on International Classification of Diseases (ICD) codes with or without free-text, medication use, laboratory data and the need for a diagnosis by a rheumatologist. These studies yielded positive predictive values (PPV) ranging from 34 to 97